Bill Rand

Classification of social media users with generalized functional data analysis

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 179.

Special Section on "Inverse Generative Social Science": Guest Editors? Statement

JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 26(2).

Two decades of agent-based modeling in marketing: a bibliometric analysis

[Review of ]. PROGRESS IN ARTIFICIAL INTELLIGENCE, 12(3), 213–229.

Entropy-Based Characterization of Influence Pathways in Traditional and Social Media

2022 IEEE 8TH INTERNATIONAL CONFERENCE ON COLLABORATION AND INTERNET COMPUTING, CIC, pp. 38–44.

Evolution of Intent and Social Influence Networks and Their Significance in Detecting COVID-19 Disinformation Actors on Social Media

SOCIAL, CULTURAL, AND BEHAVIORAL MODELING (SBP-BRIMS 2022), Vol. 13558, pp. 24–34.

Simplicity is not key: Understanding firm-generated social media images and consumer liking

INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING, 39(3), 639–655.

Agent-based modeling of new product market diffusion: an overview of strengths and criticisms

ANNALS OF OPERATIONS RESEARCH, 305(1-2), 425–447.

Apart we ride together: The motivations behind users of mixed-reality sports

JOURNAL OF BUSINESS RESEARCH, 134, 316–328.

Inferring mechanisms of response prioritization on social media under information overload

SCIENTIFIC REPORTS, 11(1).

Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media

ENTROPY, 23(2).

Real-Time Brand Reputation Tracking Using Social Media

JOURNAL OF MARKETING, 85(4), 21–43.

Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks

ArXiv. https://publons.com/wos-op/publon/48244600/

Is the Grass Greener? On the Strategic Implications of Moving Along the Value Chain for IT Service Providers

INFORMATION SYSTEMS RESEARCH, 31(1), 148–175.

The effects of information overload on online conversation dynamics

COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY, 26(2), 255–276.

Characterising climate change discourse on social media during extreme weather events

GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 54, 50–60.

Inferring models of opinion dynamics from aggregated jury data

PLOS ONE, 14(7).

Letting the Computers Take Over: Using AI to Solve Marketing Problems

CALIFORNIA MANAGEMENT REVIEW, 61(4), 156–185.

Complex systems: marketing’s new frontier

AMS Review, 8(3-4), 111–127.

Computational landscape of user behavior on social media

PHYSICAL REVIEW E, 98(6).

Simulating Macro-Level Effects from Micro-Level Observations

MANAGEMENT SCIENCE, 64(11), 5405–5421.

Building Agent-Based Decision Support Systems for Word-of-Mouth Programs: A Freemium Application

JOURNAL OF MARKETING RESEARCH, 54(5), 752–767.

Consumer Connectivity in a Complex, Technology-enabled, and Mobile-oriented World with Smart Products

JOURNAL OF INTERACTIVE MARKETING, 40, 1–8.

The myopia of crowds: Cognitive load and collective evaluation of answers on Stack Exchange

PLOS ONE, 12(3).

Brand Buzz in the Echoverse

Journal of Marketing.

Breaking into new Data-Spaces: Infrastructure for Open Community Science

ACM Conference on Computer Supported Cooperative Work and Social Computing.

Competing opinions and stubborness: Connecting models to data

Physical Review E.

Evaluating information diffusion speed and its determinants in social media networks during humanitarian crises

JOURNAL OF OPERATIONS MANAGEMENT, 45, 123–133.

The simple rules of a complex world: William Rand and Roland Rust

European Journal of Marketing.

Understanding the complexity of project team member selection through agent-based modeling

International Journal of Project Management, 34(1), 82–93.

An Agent-Based Model of Urgent Diffusion in Social Media

Journal of Artificial Societies and Social Simulation. https://publons.com/wos-op/publon/56056143/

Forecasting High Tide: Predicting Times of Elevated Activity in Online Social Media

IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

The future applications of agent-based modeling in marketing

Routledge Companion to the Future of Marketing.

When Does Simulated Data Match Real Data?

In Advances in Computational Social Science (pp. 297–313).

Automatic Crowdsourcing-Based Classification of Marketing Messaging on Twitter

ASE/IEEE INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING (SOCIALCOM).

Does Love Change on Twitter? The Dynamics of Topical Conversations in Microblogging

ASE/IEEE INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING (SOCIALCOM).

Improving Prelaunch Diffusion Forecasts: Using Synthetic Networks as Simulated Priors

Journal of Marketing Research.

Media, Aggregators, and the Link Economy: Strategic Hyperlink Formation in Content Networks

Management Science.

Predictability of User Behavior in Social Media: Bottom-Up v. Top-Down Modeling

ASE/IEEE INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING (SOCIALCOM).

SWITCHING BEHAVIOR IN ONLINE AUCTIONS: EMPIRICAL OBSERVATIONS AND PREDICTIVE IMPLICATIONS

Winter Simulation Conference. https://publons.com/wos-op/publon/56056141/

Agent-based modeling in marketing: Guidelines for rigor

International Journal of Research in Marketing.

THE SHAKY LADDER HYPERPLANE-DEFINED FUNCTIONS AND CLASSIC DYNAMIC PROBLEMS

International Journal of Computational Intelligence and Applications.

The Problem with Zoning: Nonlinear Effects of Interactions between Location Preferences and Externalities on Land Use and Utility

Environment and Planning B: Planning and Design, 37(3), 408–428.

PARTICIPATORY SIMULATION AS A TOOL FOR AGENT-BASED SIMULATION

International Conference on Agents and Artificial Intelligence (ICAART). https://publons.com/wos-op/publon/56056148/

The emergence of zoning policy games in exurban jurisdictions: Informing collective action theory

Land Use Policy, 26(2), 356–367.

Exurbia from the bottom-up: Confronting empirical challenges to characterizing a complex system

Geoforum, 39(2), 805–818.

Reciprocity between the cerebellum and the cerebral cortex: Nonlinear dynamics in microscopic modules for generating voluntary motor commands

Complexity, 14(2), 29–45.

Understanding the Semantics of the Genetic Algorithm in Dynamic Environments

In Lecture Notes in Computer Science (pp. 657–667).

The Effect of Building Block Construction on the Behavior of the GA in Dynamic Environments: A Case Study Using the Shaky Ladder Hyperplane-Defined Functions

In Lecture Notes in Computer Science (pp. 776–787).

Path dependence and the validation of agent‐based spatial models of land use

International Journal of Geographical Information Science.

Shaky Ladders, Hyperplane-Defined Functions and Genetic Algorithms: Systematic Controlled Observation in Dynamic Environments

In Lecture Notes in Computer Science (pp. 600–609).

Spatial process and data models: Toward integration of agent-based models and GIS

Journal of Geographical Systems, 7(1), 25–47.

The problem with a self-adaptative mutation rate in some environments - A case study using the Shaky Ladder Hyperplane-Defined Functions

Genetic and Evolutionary Computation Conference. https://publons.com/wos-op/publon/56056147/

Agent-based and analytical modeling to evaluate the effectiveness of greenbelts

Environmental Modelling & Software, 19(12), 1097–1109.